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An independent researcher entering academia through UX research and Research through Design (RtD) methodology, focusing on multi-agent systems (MAS), human-AI collaboration, and the philosophy of interaction — spanning philosophy of technology and AI ethics/governance. Core concerns: design theory for human-AI interfaces and AI agents; how human agency and self-understanding are shaped within continuous, responsive, and asymmetric human-AI interaction; and the theoretical reconstruction of the relationship between the world and the human that AI and emerging technologies are driving — alongside collaborative work with education scholars on pedagogy in the AI era.

My research method distills from first-hand experience designing, deploying, and using multi-agent systems, then tests that experience against theoretical argumentation. Long-term hands-on work in GAI solutions and multi-agent system implementation has given me first-hand observations of how agents are designed, and how they're understood — and misunderstood — by users, which I translate into arguable theoretical claims.

Published paper: "Agentic Social Affordance Framework (ASAF)" — agent identity design as a collaborative interface within multi-agent systems. In production at the journal.

Also in the pipeline: several conference papers spanning companion AI, AI architecture theory, AI philosophy, and long-term care AI (as second author), currently under review at various academic venues — plus a co-authored piece on education in the age of AI, currently being drafted with an education scholar.